21 research outputs found

    Research advances on the hard seededness trait of soybean and the underlying regulatory mechanisms

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    Soybean is one of the world’s most economically significant crops and is widely utilized as an essential source of vegetable protein and edible oil. Cultivated soybean is domesticated from its annual counterpart, wild soybean, which is considered valuable germplasm for soybean breeding. However, wild soybean accessions generally produce seeds with impermeable coats, a trait known as hard seededness (HS), which is beneficial for long-term seed survival but is undesirable for the uniform water absorption and germination of seeds, thus limiting the utilization of wild soybeans in breeding. In addition, moderate HS can isolate the embryo from the surrounding environment and is thus beneficial for long-term seed storage and germplasm preservation. The HS trait is primarily associated with the structure and chemical composition of the seed coat. Moreover, its development is also influenced by various environmental conditions, such as water and temperature. Genetic analysis has revealed that HS of soybean is a complex quantitative trait controlled by multiple genes or minor quantitative trait loci (QTL), with many QTLs and several causal genes currently identified. Investigating the physiological and molecular mechanisms underlying this trait is crucial for soybean breeding, production, and food processing. For this article, the literature was reviewed and condensed to create a well-rounded picture of the current understanding of internal and external factors, QTLs, causal genes, and the regulatory mechanisms related to the HS of soybean, with the aim of providing reference for future research and utilization of this trait

    Response of miR156-SPL Module during the Red Peel Coloration of Bagging-Treated Chinese Sand Pear (Pyrus pyrifolia Nakai)

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    MicroRNA156 is an evolutionarily highly conserved plant micro-RNA (miRNA) that controls an age-dependent flowering pathway. miR156 and its target SQUAMOSA PROMOTER BINDING PROTEIN-LIKE (SPL) genes regulate anthocyanin accumulation in plants, but it is unknown whether this process is affected by light. Red Chinese sand pear (Pyrus pyrifolia) fruits exhibit a unique coloration pattern in response to bagging treatments, which makes them appropriate for studying the molecular mechanism underlying light-induced anthocyanin accumulation in fruit. Based on high-throughput miRNA and degradome sequencing data, we determined that miR156 was expressed in pear fruit peels, and targeted four SPL genes. Light-responsive elements were detected in the promoter regions of the miR156a and miR156ba precursors. We identified 19 SPL genes using the “Suli” pear (Pyrus pyrifolia Chinese White Pear Group) genome database, of which seven members were putative miR156 targets. The upregulated expression of anthocyanin biosynthetic and regulatory genes and downregulated expression of PpSPL2, PpSPL5, PpSPL7, PpSPL9, PpSPL10, PpSPL13, PpSPL16, PpSPL17, and PpSPL18 were observed in pear fruits after bags were removed from plants during the anthocyanin accumulation period. Additionally, miR156a/ba/g/s/sa abundance increased after bags were removed. Yeast two-hybrid results suggested that PpMYB10, PpbHLH, and PpWD40 could form a protein complex, probably involved in anthocyanin biosynthesis. Additionally, PpSPL10 and PpSPL13 interacted with PpMYB10. The results obtained in this study are helpful in understanding the possible role of miR156 and its target PpSPL genes in regulating light-induced red peel coloration and anthocyanin accumulation in pear

    Research progress on the roles of actin-depolymerizing factor in plant stress responses

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    Actin-depolymerizing factors (ADFs) are highly conserved small-molecule actin-binding proteins found throughout eukaryotic cells. In land plants, ADFs form a small gene family that displays functional redundancy despite variations among its individual members. ADF can bind to actin monomers or polymerized microfilaments and regulate dynamic changes in the cytoskeletal framework through specialized biochemical activities, such as severing, depolymerizing, and bundling. The involvement of ADFs in modulating the microfilaments’ dynamic changes has significant implications for various physiological processes, including plant growth, development, and stress response. The current body of research has greatly advanced our comprehension of the involvement of ADFs in the regulation of plant responses to both biotic and abiotic stresses, particularly with respect to the molecular regulatory mechanisms that govern ADF activity during the transmission of stress signals. Stress has the capacity to directly modify the transcription levels of ADF genes, as well as indirectly regulate their expression through transcription factors such as MYB, C-repeat binding factors, ABF, and 14-3-3 proteins. Furthermore, apart from their role in regulating actin dynamics, ADFs possess the ability to modulate the stress response by influencing downstream genes associated with pathogen resistance and abiotic stress response. This paper provides a comprehensive overview of the current advancements in plant ADF gene research and suggests that the identification of plant ADF family genes across a broader spectrum, thorough analysis of ADF gene regulation in stress resistance of plants, and manipulation of ADF genes through genome-editing techniques to enhance plant stress resistance are crucial avenues for future investigation in this field

    Genome-wide identification and expression analysis of the KCS gene family in soybean (Glycine max) reveal their potential roles in response to abiotic stress

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    Very long chain fatty acids (VLCFAs) are fatty acids with chain lengths of 20 or more carbon atoms, which are the building blocks of various lipids that regulate developmental processes and plant stress responses. 3-ketoacyl-CoA synthase encoded by the KCS gene is the key rate-limiting enzyme in VLCFA biosynthesis, but the KCS gene family in soybean (Glycine max) has not been adequately studied thus far. In this study, 31 KCS genes (namely GmKCS1 - GmKCS31) were identified in the soybean genome, which are unevenly distributed on 14 chromosomes. These GmKCS genes could be phylogenetically classified into seven groups. A total of 27 paralogous GmKCS gene pairs were identified with their Ka/Ks ratios indicating that they had undergone purifying selection during soybean genome expansion. Cis-acting element analysis revealed that GmKCS promoters contained multiple hormone- and stress-responsive elements, indicating that GmKCS gene expression levels may be regulated by various developmental and environmental stimuli. Expression profiles derived from RNA-seq data and qRT-PCR experiments indicated that GmKCS genes were diversely expressed in different organs/tissues, and many GmKCS genes were found to be differentially expressed in the leaves under cold, heat, salt, and drought stresses, suggesting their critical role in soybean resistance to abiotic stress. These results provide fundamental information about the soybean KCS genes and will aid in their further functional elucidation and exploitation

    Construction and realization of information platform for geological disaster monitoring and early warning in Qinghai Province

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    Under the influence of global changes, the frequency of geological disasters in Qinghai Province, which is located in the northeastern part of the Qinghai-Tibet Plateau, has increased significantly. It is important to build a geological disaster monitoring and early warning information platform in Qinghai Province to reduce the safety of life and property in the area. In this paper, the process of construction and realization of the information platform for geological disaster monitoring and early warning in Qinghai Province is described in terms of equipment deployment, system construction, platform function and operation status. At present, the information platform of geological disaster monitoring and early warning in Qinghai Province has been able to achieve the unified management and dynamic update of disaster information of different sources and batches of geological disasters, and achieve data integration, result visualization, information synthesis and system integration. The information platform of geological disaster monitoring and early warning in Qinghai Province includes 10 modules such as geological disaster investigation and evaluation system, geological disaster monitoring and early warning system, and geological disaster meteorological early warning system. At this stage, all universal monitoring data can be sent to the national geological disaster monitoring data platform synchronously, which can support the work of geological disaster early warning efficiently. The monitoring and early warning information platform can automatically analyze the monitoring data collected in real time and support a variety of early warning models to discriminate; when the monitoring data changes and touches the preset discriminating models, it can automatically send geohazard early warning information. Through the trial run of the system, there have been cases of results monitoring and early warning, and the data is reliable enough to meet the needs of monitoring and early warning

    Refinement-based Specification and Analysis of Multi-core ARINC 653 Using Event-B

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    Overexpression of GhSWEET42, a SWEET-like gene from cotton, enhances the oil content and seed size

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    AbstractSWEET (‘sugars will eventually be exported transporters’) family genes reportedly play a critical role in sugar translocation and oil biosynthesis in various plant species. However, their functions in cotton are unknown. The present study demonstrated that while GhSWEET42 was widely expressed in different cotton tissues, it had the highest expression level in the developing ovules. Hence, it performs a vital role in seed development. We constructed GhSWEET42 transgenic Arabidopsis lines to verify the biological function of this gene and found that the oil content and weight of the seeds produced by the overexpression lines were 18–23% and 19–20% higher, respectively than those of the wild-type. Gas chromatography–mass spectrometry (GC–MS) analysis revealed that it was mainly a relative increase in unsaturated fatty acids (FAs) that contributed to the relative increase in oil content in the transgenic seeds. Moreover, the latter exhibited comparative upregulation of certain genes associated with FA and triacylglycerol biosynthesis as well as cell expansion. GhSWEET42 might work synergistically with the aforementioned genes. This finding indicates that GhSWEET42 may be essential in oil biosynthesis and seed development in cotton. The results of the present work may facilitate further explorations into the molecular mechanism of cottonseed oil biosynthesis as well as the cultivation of novel oil-rich cotton varieties
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